【摘要】 锰基锂离子电池材料因其资源丰富和成本优势，成为实现规模化储能应用的关键候选体系。锰基锂离子电池材料的发展历经三个阶段：早期研究聚焦于材料本征缺陷的识别，如尖晶石结构的Jahn-Teller畸变、层状材料的氧流失问题，揭示了锰溶解和相变引发的循环衰减机制。当前研究重心转向界面工程策略，通过表面包覆、离子掺杂及异质结构设计等多重手段协同优化电极/电解质界面稳定性，显著提升了材料在高电压下的结构完整性。近期趋势表明，先进原位表征技术与理论计算的结合，正推动界面动态演变机制的深入解析。但仍存在关键挑战：全固态电池中界面阻抗的调控尚未突破，极端工况(高温/高倍率)下的长效稳定性不足，以及缺乏普适性的界面设计理论模型。未来的研究可致力于开发仿生自适应界面层以应对复杂电化学环境，融合机器学习优化多尺度界面设计，并探索高兼容性固态电解质体系，从而推动锰基材料在下一代高安全、高能量密度储能系统中的实际应用。更多还原

【Abstract】 Manganese-based lithium-ion battery(LIB) materials are emerging as leading candidates for large-scale energy-storage systems, owing to their natural abundance and cost-effectiveness. The development of these materials has advanced through three stages: early studies focused on intrinsic defects—Jahn-Teller distortion in spinel frameworks and oxygen loss in layered oxides—revealing that capacity fade is driven by Mn dissolution coupled with phase transitions. The present focus has turned to interface engineering, wherein synergistic optimization through surface coatings, ion doping, and heterostructure design markedly enhances electrode-electrolyte interfacial stability and structural integrity under high-voltage operation. Recent trends show that coupling advanced in situ characterization with theoretical calculations is deepening mechanistic insight into dynamic interfacial evolution. Nevertheless, critical challenges persist: control of interfacial impedance in all-solid-state batteries remains unresolved; long-term stability under extreme conditions(elevated temperature and high rates) is insufficient; and a universal design paradim is lacking. Future efforts should prioritize bioinspired, adaptive interphases tailored for complex electrochemical environments, leverage machine learning for multi-scale interface optimization, and exploring highly compatible solid-state electrolytes to accelerate the deployment of manganese-based cathodes in next-generation, high-safety, high-energy-density storage systems.更多还原